@inproceedings{23db1c18694d428bb1f2b0cd6cd44443,
title = "Immersive multi-user decision training games with ARLearn",
abstract = "Serious gaming approaches so far focus mainly on skill development, motivational aspects or providing immersive learning situations. Little work has been reported to foster awareness and decision competencies in complex deci-sion situations involving incomplete information and multiple stakeholders. We address this issue exploring the technical requirements and possibilities to de-sign games for such situations in three case studies: a hostage taking situation, a multi-stakeholder logistics case, and a health-care related emergency case. To implement the games, we use a multi-user enabled mobile game development platform (ARLearn). We describe the underlying real world situations and edu-cational challenges and analyse how these are reflected in the ARLearn games realized. Based on these cases we propose a way to increase the immersiveness of mobile learning games.",
keywords = "Mobile learning, serious games, decision training, mobile serious games, Multi-role game-design, immersiveness",
author = "Roland Klemke and Stefaan Ternier and Marco Kalz and Birgit Schmitz and Marcus Specht",
year = "2014",
month = sep,
day = "3",
doi = "10.1007/978-3-319-11200-8_16",
language = "English",
isbn = "978-3-319-11199-5",
volume = "8719",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "207--220",
editor = "Christoph Rensing and {de Freitas}, Sara and Tobias Ley and Mu{\~n}oz-Merino, {Pedro J.}",
booktitle = "Open Learning and Teaching in Educational Communities",
}